{"id":"W4362692675","doi":"10.1186/s13072-023-00484-9","title":"Multilevel interrogation of H3.3 reveals a primordial role in transcription regulation","year":2023,"lang":"en","type":"article","venue":"Epigenetics & Chromatin","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec; Toronto Metropolitan University; York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Compute Canada","keywords":"Interrogation; Biology; Transcription (linguistics); Transcription factor; Computational biology; Evolutionary biology; Genetics; Cell biology; Gene; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002379736,0.00009598745,0.000124739,0.00009757873,0.00003568892,0.000007528541,0.0001261739,0.0001373671,0.0000261286],"category_scores_gemma":[0.00004217707,0.0001124943,0.00006230013,0.0001704124,0.00004432956,0.000004526187,0.00005267701,0.0000513164,0.00002488921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002259616,"about_ca_system_score_gemma":0.00004556885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004848381,"about_ca_topic_score_gemma":0.00008912959,"domain_scores_codex":[0.9991672,0.0000831757,0.0002627411,0.0002041558,0.0001262281,0.0001564663],"domain_scores_gemma":[0.9996095,0.00001114083,0.0001011253,0.000194059,0.0000507112,0.00003349595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004509415,0.00004256621,0.01112228,0.00004044449,0.00001276759,8.701204e-7,0.0006157999,0.0006591345,0.9837491,0.00007607501,0.0001996259,0.003436227],"study_design_scores_gemma":[0.0004551703,0.000121281,0.5971689,0.00003250841,0.000007576324,9.067017e-7,0.0001504784,0.001387159,0.3997848,0.0005299172,0.0002647134,0.0000964938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975451,0.0001049194,0.001481474,0.00004770206,0.0001031108,0.0002590466,0.00004516195,0.00001607123,0.0003973672],"genre_scores_gemma":[0.9978873,0.00005412187,0.001339182,0.00002364997,0.00007674838,0.00001698067,0.0003055269,0.00001201481,0.0002844703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5860466,"threshold_uncertainty_score":0.4587385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373759393810881,"score_gpt":0.2463098351023268,"score_spread":0.232572241164218,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}